NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems

In this study, we show that an electronic warfare system can find the target radar's North East Down (NED) azimuth and elevation angles using only body azimuth measurements. We develop two different approaches utilizing non-convex optimization and deep learning based image segmentation methods. The optimization methods work directly on body azimuth measurements and platform maneuver angles. At the same time, the image segmentation models process two-dimensional preprocessed images in which the target NED angles appear as the intersection of curves. Quantitative results show that deep image segmentation methods provide superior performance compared to the optimization methods.